A VMD Based Approach for Speech Enhancement

Gowri, B.; Kumar, Sanjeev; Mohan, Neethu

doi:10.1007/978-3-319-28658-7_27

Cited by 9 publications

(2 citation statements)

References 29 publications

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“…The VMD algorithm is an adaptive and non-recursive signal decomposition mode, which can decompose a nonstationary signal into k modal components with different bandwidths, and the algorithm is especially suitable for dealing with nonlinear non-stationary signals [12]. The VMD algorithm mainly includes the following steps:…”

Section: Vmdmentioning

confidence: 99%

Research on the Error Calibration Method of Rheological Parameters of Rectangular Tubular Viscometer

Song,

Zhang

2024

AJST

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In order to solve the problem of high error in the process of measuring the rheology of drilling fluids by the common pipe flow method, an online measurement device for the rheology of drilling fluids with rectangular tubular drilling fluids was fabricated, and a calibration method for the measurement error of rheological parameters was proposed and corresponding experiments were carried out. By measuring the differential pressure value and flow, flow rate and other parameters when the drilling fluid flows through the measuring tube, upload them to the host computer for processing, use VMD to decompose the measured differential pressure data, remove the residual term, and then perform Hibert transform on each modal component to obtain its analytical signal, modulate the amplitude and phase of each analytical signal, and then reconstruct the signal to obtain the optimized differential data, and finally bring it into the constructed calibration model of the rheological parameter measurement error of drilling fluid to obtain the rheological parameters. The experimental results show that the proposed method can obtain more accurate rheological parameters of drilling fluid, improve the measurement accuracy of drilling fluid rheology parameters, so as to judge the downhole situation more accurately and ensure the personal safety of on-site staff.

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Section: Vmdmentioning

confidence: 99%

Research on the Error Calibration Method of Rheological Parameters of Rectangular Tubular Viscometer

Song,

Zhang

2024

AJST

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“…In the field of speech enhancement, Gowri et al [41] utilized VMD based approach for enhancing speech signals distorted by white Gaussian noise. In [42], EMD and VMD method are compared for speech enhancement, the results show that the VMD is more efficient than EMD method in speech enhancement.…”

Section: Introductionmentioning

confidence: 99%

94 GHz Asymmetric Antenna Radar for Speech Signal Detection and Enhancement via Variational Mode Decomposition and Improved Threshold Strategy

Chen

Wang

2022

IEEE Access

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To further improve the detection distance and sensitivity of bio-radar, a 94 GHz asymmetric antenna radar sensor is employed to detect speech signal. However, the radar speech is often mixed with various noise, which will seriously affect the quality and intelligibility of the speech signal. Therefore, a novel method based on variational mode decomposition (VMD) and improved threshold strategy (ITS) is proposed in this paper for improving the quality and intelligibility of the radar speech. VMD is a novel adaptive decomposition method, which overcomes the problem of mode aliasing and end effect in empirical mode decomposition (EMD). ITS can overcome the limitation of traditional wavelet threshold and achieve the best compromise between speech intelligibility and noise reduction. Firstly, EMD is applied to determine the number of decomposition level, and then radar speech is decomposed into several limited bandwidth intrinsic mode functions by VMD. Secondly, ITS is employed to remove noise from useful modes which are determined by Pearson correlation coefficient (PCC). The performance of the proposed method is evaluated by perceptual evaluation of speech quality (PESQ), short-time objective intelligibility (STOI) and composite measures (CMs). The experimental results show that the radar sensor can detect long distance speech signal and the proposed method can effectively improve the quality and intelligibility of the radar speech signal. Due to the good performance, the proposed method will provide a promising alternative for various applications related to radar speech and traditional microphone speech signal enhancement.INDEX TERMS 94 GHz asymmetric antenna; radar speech; speech enhancement; variational mode decomposition; improved threshold strategy; composite measure

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